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sku在es中存储结构分析

作者:互联网

有两种存储方式:
方式一
将属性冗余字段一并保存

{
	"spuId": xxx,
	"skuId": xxx,
	"xxxx基本属性": "",
	"attrs": {
		"属性1"; "xxx",
		"属性2": "xxx"
	}
}

方式二:
将冗余字段接偶

{
	"spuId": xxx,
	"skuId": xxx,
	"xxxx基本属性": "",
}

{
	"spuId": "xx",
	"属性1"; "xxx",
	"属性2": "xxx"
}

对比两种方式
首先方式一因为将attrs冗余字段一并存储 查询时会比较快 但是浪费了一些空间
其次方式二将sku和attrs接偶 节约了一些空间 但是因为要发送两次请求 所以查询时会比较慢
时间和空间之间的矛盾 我们选择时间 也就是方式一

mapping映射



PUT product
{
  "mappings": {
    "properties": {
      "skuId": {
        "type": "long"
      },
      "spuId": {
        "type": "keyword"
      },
      "skuTitle": {
        "type": "text",
        "analyzer": "ik_smart"
      },
      "skuPrice": {
        "type": "keyword"
      },
      "skuImg": {
        "type": "keyword",
        "index": false,
        "doc_values": false
      },
      "saleCount": {
        "type": "long"
      },
      "hasStock": {
        "type": "boolean"
      },
      "notScore": {
        "type": "long"
      },
      "brandId": {
        "type": "long"
      },
      "catelogI": {
        "type": "long"
      },
      "brandName": {
        "type": "keyword",
        "index": false,
        "doc_values": false
      },
      "brandImg": {
        "type": "keyword",
        "index": false,
        "doc_values": false
      },
      "catelogName": {
        "type": "keyword",
        "index": false,
        "doc_values": false
      },
      "attrs": {
        "type": "nested",
        "properties": {
          "attrId": {
            "type": "long"
          },
          "attrName": {
            "type": "keyword",
            "index": false,
            "doc_values": false
          },
          "attrValue": {
            "type": "keyword"
          }
        }
      }
    }
  }
}

index: 为false表示不可作为检索条件

标签:sku,index,存储,false,keyword,xxx,long,type,es
来源: https://www.cnblogs.com/lyraHeartstrings/p/15871391.html